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A leading US technology company is building a new event-driven platform powered by serverless AWS services and applied AI. The team operates in a fast-paced, start-up style environment and is expanding its engineering group to accelerate green-field product development.

As a Senior Back-End Engineer you will design, implement and operate Node.js workloads running in AWS Lambda behind API Gateway. You will modernize legacy endpoints, create new APIs, and embed AI capabilities such as LLM-driven features into production systems. Daily work includes writing infrastructure as code, optimizing cold-start performance, managing data in DynamoDB and PostgreSQL, and owning the full service lifecycle from code to monitoring. You will collaborate with a hands-on technical leadership team and influence architecture choices across multiple agile pods.

Technical requirements

* Deep competence with Node.js for back-end development.
* Production experience deploying and operating AWS Lambda functions and Amazon API Gateway integrations.
* Proficiency with serverless design patterns, event buses, and infrastructure-as-code tools such as AWS SAM, CDK, or Terraform.
* Knowledge of data stores suitable for serverless workloads, especially DynamoDB and PostgreSQL.
* Hands-on work integrating AI or machine-learning services into live applications and a strong interest in advancing those capabilities.
* Ability to optimize performance, security, observability, and cost in a serverless environment.

Position Title: Data Engineer

Job Overview:

We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

Key Responsibilities:

* Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

* Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

* Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

* Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

* Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

* Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

* Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

* Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

Qualifications:

* Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

* Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

* Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

* Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

* Strong understanding of database systems, data modeling, and cloud architecture.

* Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

* Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

Skills & Competencies:

* Takes initiative and brings solutions, not just problems.

* Strong analytical thinking and a pragmatic approach to building systems.

* Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

* Collaborative and team-oriented, but capable of working independently when needed.

* Detail-oriented, dependable, and eager to help shape a growing data function.

* Demonstrates flexibility and professionalism, especially in high-paced, shifting environments

Position Title: Data Engineer

About the Role:

We're seeking a dynamic and resourceful Data Engineer to become part of our expanding team. In this role, you'll be responsible for building and maintaining robust, scalable data pipelines and infrastructure that support analytics and reporting across the organization. You'll partner with both technical and business teams to ensure data flows efficiently, systems are dependable, and our data strategy is future-ready. The right candidate thrives in a fast-paced environment, is a collaborative problem-solver, and brings a sharp, adaptable mindset to technical challenges.

What You'll Do:

*

Pipeline Engineering: Develop and maintain scalable ETL/ELT workflows to support data needs across analytics, operations, and business functions.
*

Infrastructure Design: Architect and fine-tune data platforms across cloud and hybrid environments for optimized access and performance.
*

Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
*

System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
*

End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
*

Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
*

Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
*

Team Engagement: Contribute to a small, high-impact team where every voice counts and initiative drives progress.

What We're Looking For:

*

Education: A bachelor's degree in Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
*

Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
*

Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
*

Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
*

Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
*

Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
*

Nice to Have: Familiarity with business intelligence platforms such as Power BI, Tableau, or MicroStrategy.

Key Attributes:

*

Proactive and solution-focused, not afraid to take ownership.
*

Strong analytical and systems thinking skills with a practical mindset.
*

Clear communicator who can articulate technical ideas to various audiences.
*

Team player who can also thrive in independent settings.
*

Detail-oriented, reliable, and invested in the team's and company's success.
*

Agile and professional under pressure, with a flexible approach to shifting priorities.

Position Title: Data Engineer

About the Role:

We're seeking a dynamic and resourceful Data Engineer to become part of our expanding team. In this role, you'll be responsible for building and maintaining robust, scalable data pipelines and infrastructure that support analytics and reporting across the organization. You'll partner with both technical and business teams to ensure data flows efficiently, systems are dependable, and our data strategy is future-ready. The right candidate thrives in a fast-paced environment, is a collaborative problem-solver, and brings a sharp, adaptable mindset to technical challenges.

What You'll Do:

*

Pipeline Engineering: Develop and maintain scalable ETL/ELT workflows to support data needs across analytics, operations, and business functions.
*

Infrastructure Design: Architect and fine-tune data platforms across cloud and hybrid environments for optimized access and performance.
*

Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
*

System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
*

End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
*

Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
*

Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
*

Team Engagement: Contribute to a small, high-impact team where every voice counts and initiative drives progress.

What We're Looking For:

*

Education: A bachelor's degree in Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
*

Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
*

Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
*

Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
*

Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
*

Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
*

Nice to Have: Familiarity with business intelligence platforms such as Power BI, Tableau, or MicroStrategy.

Key Attributes:

*

Proactive and solution-focused, not afraid to take ownership.
*

Strong analytical and systems thinking skills with a practical mindset.
*

Clear communicator who can articulate technical ideas to various audiences.
*

Team player who can also thrive in independent settings.
*

Detail-oriented, reliable, and invested in the team's and company's success.
*

Agile and professional under pressure, with a flexible approach to shifting priorities.

We will need hands-on SQL and Finance TM1 - IBM Cognos



Location - London, UK - hybrid - 2-3 days a week at the office

1 Duration - 6 months
2 Customer: Financial Services
3 Interview process: 2 Stages, one internal, one with Client.



Job Purpose:

The Finance TM1 Contractor will join the Finance Change Team and assist with the administration, maintenance, and further development of our TM1 system. The role will support both the Finance team and the wider business.



Key Areas of Responsibility:

* Provide first line support for TM1 end users. This will include assisting with reporting, advice on use of TM1, problem solving, user and security changes.
* Provide BAU support and bug fixing.
* Work with the team to develop TM1 improvements
* Help to develop, validate and document TM1 solutions, based on current projects list and priorities.
* Satisfy business needs by implementing TM1 solutions using TM1 rules, TI processes and efficient design in the TM1 environment.



Knowledge and Skills:

* Strong capabilities in TM1 competencies including: rules/feeders, TI processes, subset automation, dimension and cube structures, Perspective reports and Architect.
* Paw dashboard creation and report building
* Strong Excel skills including VBA and macros
* Hands on exp on MS SQL Server, SQL and MDX
* Finance and accounting knowledge
* Good interpersonal skills

A leading entertainment company based in Dallas is seeking a Senior Data Engineer / Architect to help shape and optimize the future of their data architecture. This is a key role in modernizing their analytics platform, with a particular focus on Google BigQuery and cloud-native design.

What You'll Do:

* Design and implement scalable data solutions using BigQuery, optimizing for performance, cost, and maintainability
* Lead the architectural strategy for the company's data platform, ensuring alignment with business needs and best practices
* Migrate legacy systems to a modern BigQuery-based stack
* Collaborate with BI teams, analysts, and stakeholders to ensure data is modeled for reporting and decision-making
* Implement robust data pipelines (ETL/ELT) using tools like Cloud Dataflow, DBT, Apache Beam, or similar
* Establish and enforce data governance, quality, and documentation standards

What We're Looking For:

* Strong experience designing and architecting cloud-based data warehouses, especially with BigQuery
* Expertise in SQL performance tuning and large-scale data modeling
* Proficiency with ETL tools and orchestration frameworks (e.g., Airflow, DBT, Dataflow)
* Familiarity with GCP services and data infrastructure best practices
* Experience working with semi-structured data (e.g., JSON, Parquet)
* Ability to lead and mentor data engineering teams and influence architectural direction

Lead Data Engineer - Snowflake, DBT, Airflow - London - Up to £100k

I'm working with a key client of ours here at TRG who are looking to grow out their Data & Analytics function. My client are globally renowned for being a leader within their relative field. Whilst they are a very well recognised house hold brand, they are also known within the tech community for embracing technology and using it to drive forward strategic decision making.
As a company, they are listed in the top 10 for top 100 companies to work for and equally, they are extremely proud of their people first culture. They invest heavily into each employee across the business through development plans and unparalleled progression opportunities but also, they enable tech enthusiasts to bring out the best in technology by utilising the latest technologies available on the market.

This role is sat within the Data engineering team. Whilst this is a lead role, the expectation is that this is very much about leading from the front and being in the trenches of engineering & Development. This is a hands on role where the successful applicant will be building pipelines but also being heavily involved in designing architectures for an array of projects where greenfield snowflake implementations will be taking place.

This is a salaried position and depending on experience, it can pay up to £100k with some comprehensive benefits. This includes a bonus but also a pension scheme that pays up to 14%! As previously mentioned, they have great career development plans as well as access to industry leading training.
Finally, they recognise that work life balance is extremely important and that a happy employee means higher productivity! So they offer very flexible working arrangements through both WFH options and flexi working hours.

Experience required...

* Expert in Snowflake
* Strong DBT experience
* Strong Airflow experience
* Expert knowledge and understanding of Data Warehousing
* Strong AWS experience

This is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies to work for. Interviews are already taking place so don't miss out and apply now!

If this is of an interest then get in touch ASAP. Send across your CV to t.shahid@nigelfrank.com or alternatively, give me a call on 0191 3387551.

Keywords: Snowflake, DBT, SQL, Airflow, AWS, Engineer, DWH, Data Warehouse, Data Warehousing, Architecture, London